Overview

Dataset statistics

Number of variables9
Number of observations989
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.7 KiB
Average record size in memory72.1 B

Variable types

Categorical3
Text4
DateTime2

Dataset

Description우수식품인증업체, 민간인증기관 정보서비스(인증구분, 인증번호, 인증기관, 인증일자, 인증업체, 주소, 제품명)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220204000000001688

Alerts

인증종료일 has constant value ""Constant
인증기관 is highly imbalanced (79.9%)Imbalance

Reproduction

Analysis started2024-03-23 07:24:38.490374
Analysis finished2024-03-23 07:24:41.014217
Duration2.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
전통식품인증
789 
KS인증
200 

Length

Max length6
Median length6
Mean length5.5955511
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKS인증
2nd rowKS인증
3rd rowKS인증
4th rowKS인증
5th rowKS인증

Common Values

ValueCountFrequency (%)
전통식품인증 789
79.8%
KS인증 200
 
20.2%

Length

2024-03-23T07:24:41.162696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:24:41.443489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전통식품인증 789
79.8%
ks인증 200
 
20.2%

인증번호
Text

Distinct973
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-23T07:24:41.922247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.470172
Min length12

Characters and Unicode

Total characters12333
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique957 ?
Unique (%)96.8%

Sample

1st row식품연 제2022-12호
2nd row식품연 제2022-11호
3rd row식품연 제2022-10호
4th row식품연 제2022-09호
5th row식품연 제2022-08호
ValueCountFrequency (%)
식품연 989
35.7%
전통 789
28.5%
제167호 2
 
0.1%
제162호 2
 
0.1%
제518호 2
 
0.1%
제247호 2
 
0.1%
제165호 2
 
0.1%
제168호 2
 
0.1%
제540호 2
 
0.1%
제243호 2
 
0.1%
Other values (965) 973
35.2%
2024-03-23T07:24:42.886038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1778
14.4%
식 989
 
8.0%
연 989
 
8.0%
제 989
 
8.0%
품 989
 
8.0%
호 989
 
8.0%
전 789
 
6.4%
통 789
 
6.4%
1 787
 
6.4%
0 611
 
5.0%
Other values (9) 2634
21.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6523
52.9%
Decimal Number 3832
31.1%
Space Separator 1778
 
14.4%
Dash Punctuation 200
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 787
20.5%
0 611
15.9%
2 582
15.2%
9 293
 
7.6%
8 289
 
7.5%
6 264
 
6.9%
3 261
 
6.8%
7 250
 
6.5%
5 249
 
6.5%
4 246
 
6.4%
Other Letter
ValueCountFrequency (%)
식 989
15.2%
연 989
15.2%
제 989
15.2%
품 989
15.2%
호 989
15.2%
전 789
12.1%
통 789
12.1%
Space Separator
ValueCountFrequency (%)
1778
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6523
52.9%
Common 5810
47.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1778
30.6%
1 787
13.5%
0 611
 
10.5%
2 582
 
10.0%
9 293
 
5.0%
8 289
 
5.0%
6 264
 
4.5%
3 261
 
4.5%
7 250
 
4.3%
5 249
 
4.3%
Other values (2) 446
 
7.7%
Hangul
ValueCountFrequency (%)
식 989
15.2%
연 989
15.2%
제 989
15.2%
품 989
15.2%
호 989
15.2%
전 789
12.1%
통 789
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6523
52.9%
ASCII 5810
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1778
30.6%
1 787
13.5%
0 611
 
10.5%
2 582
 
10.0%
9 293
 
5.0%
8 289
 
5.0%
6 264
 
4.5%
3 261
 
4.5%
7 250
 
4.3%
5 249
 
4.3%
Other values (2) 446
 
7.7%
Hangul
ValueCountFrequency (%)
식 989
15.2%
연 989
15.2%
제 989
15.2%
품 989
15.2%
호 989
15.2%
전 789
12.1%
통 789
12.1%

인증기관
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
한국식품연구원
958 
주식회사 푸름인증원
 
31

Length

Max length10
Median length7
Mean length7.0940344
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국식품연구원
2nd row한국식품연구원
3rd row한국식품연구원
4th row한국식품연구원
5th row한국식품연구원

Common Values

ValueCountFrequency (%)
한국식품연구원 958
96.9%
주식회사 푸름인증원 31
 
3.1%

Length

2024-03-23T07:24:43.228734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:24:43.519126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국식품연구원 958
93.9%
주식회사 31
 
3.0%
푸름인증원 31
 
3.0%

인증일자
Date

Distinct219
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2013-05-16 00:00:00
Maximum2022-09-16 00:00:00
2024-03-23T07:24:43.793381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:24:44.243681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증시작일
Date

Distinct425
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum1967-07-15 00:00:00
Maximum2022-09-14 00:00:00
2024-03-23T07:24:44.599064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:24:45.207891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증종료일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2999-12-31
989 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2999-12-31
2nd row2999-12-31
3rd row2999-12-31
4th row2999-12-31
5th row2999-12-31

Common Values

ValueCountFrequency (%)
2999-12-31 989
100.0%

Length

2024-03-23T07:24:45.634146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:24:45.933318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2999-12-31 989
100.0%

인증업체
Text

Distinct562
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-23T07:24:46.484820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.148635
Min length2

Characters and Unicode

Total characters9048
Distinct characters380
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique342 ?
Unique (%)34.6%

Sample

1st row(주)한일식품
2nd row(주)그린
3rd row(주)그린
4th row(주)미트뱅크 제2공장
5th row(주)미트뱅크 제2공장
ValueCountFrequency (%)
농업회사법인 103
 
8.2%
영농조합법인 62
 
4.9%
주식회사 13
 
1.0%
남안동농협가공사업소 12
 
1.0%
안동제비원전통식품㈜ 10
 
0.8%
주)디아이 10
 
0.8%
순창장본가전통식품 8
 
0.6%
주)태림에프웰 8
 
0.6%
주)오뚜기 7
 
0.6%
순애할매농산(유 6
 
0.5%
Other values (591) 1016
81.0%
2024-03-23T07:24:47.689965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 478
 
5.3%
인 378
 
4.2%
주 363
 
4.0%
법 361
 
4.0%
( 335
 
3.7%
) 335
 
3.7%
사 292
 
3.2%
식 292
 
3.2%
품 280
 
3.1%
276
 
3.1%
Other values (370) 5658
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7874
87.0%
Open Punctuation 335
 
3.7%
Close Punctuation 335
 
3.7%
Space Separator 276
 
3.1%
Other Symbol 168
 
1.9%
Decimal Number 31
 
0.3%
Uppercase Letter 20
 
0.2%
Other Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 478
 
6.1%
인 378
 
4.8%
주 363
 
4.6%
법 361
 
4.6%
사 292
 
3.7%
식 292
 
3.7%
품 280
 
3.6%
업 261
 
3.3%
회 228
 
2.9%
장 196
 
2.5%
Other values (358) 4745
60.3%
Uppercase Letter
ValueCountFrequency (%)
F 10
50.0%
S 5
25.0%
B 3
 
15.0%
C 1
 
5.0%
K 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 22
71.0%
1 9
29.0%
Open Punctuation
ValueCountFrequency (%)
( 335
100.0%
Close Punctuation
ValueCountFrequency (%)
) 335
100.0%
Space Separator
ValueCountFrequency (%)
276
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 168
100.0%
Other Punctuation
ValueCountFrequency (%)
& 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8042
88.9%
Common 986
 
10.9%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 478
 
5.9%
인 378
 
4.7%
주 363
 
4.5%
법 361
 
4.5%
사 292
 
3.6%
식 292
 
3.6%
품 280
 
3.5%
업 261
 
3.2%
회 228
 
2.8%
장 196
 
2.4%
Other values (359) 4913
61.1%
Common
ValueCountFrequency (%)
( 335
34.0%
) 335
34.0%
276
28.0%
2 22
 
2.2%
& 9
 
0.9%
1 9
 
0.9%
Latin
ValueCountFrequency (%)
F 10
50.0%
S 5
25.0%
B 3
 
15.0%
C 1
 
5.0%
K 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7874
87.0%
ASCII 1006
 
11.1%
None 168
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 478
 
6.1%
인 378
 
4.8%
주 363
 
4.6%
법 361
 
4.6%
사 292
 
3.7%
식 292
 
3.7%
품 280
 
3.6%
업 261
 
3.3%
회 228
 
2.9%
장 196
 
2.5%
Other values (358) 4745
60.3%
ASCII
ValueCountFrequency (%)
( 335
33.3%
) 335
33.3%
276
27.4%
2 22
 
2.2%
F 10
 
1.0%
& 9
 
0.9%
1 9
 
0.9%
S 5
 
0.5%
B 3
 
0.3%
C 1
 
0.1%
None
ValueCountFrequency (%)
㈜ 168
100.0%

주소
Text

Distinct553
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-23T07:24:48.893330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length23.066734
Min length15

Characters and Unicode

Total characters22813
Distinct characters355
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique330 ?
Unique (%)33.4%

Sample

1st row경상남도 진주시 대곡면 대화로 68
2nd row충청남도 서산시 고북면 고북4로 356-54
3rd row충청남도 서산시 고북면 고북4로 356-54
4th row인천광역시 서구 소담1로 30 (금곡동)
5th row인천광역시 서구 소담1로 30 (금곡동)
ValueCountFrequency (%)
경기도 226
 
4.5%
충청남도 138
 
2.7%
경상북도 121
 
2.4%
전라북도 102
 
2.0%
충청북도 90
 
1.8%
전라남도 83
 
1.6%
경상남도 67
 
1.3%
강원도 65
 
1.3%
순창군 33
 
0.7%
파주시 30
 
0.6%
Other values (1572) 4110
81.1%
2024-03-23T07:24:50.186272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4130
 
18.1%
도 934
 
4.1%
1 807
 
3.5%
시 641
 
2.8%
면 614
 
2.7%
길 589
 
2.6%
로 545
 
2.4%
2 522
 
2.3%
경 455
 
2.0%
3 446
 
2.0%
Other values (345) 13130
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14014
61.4%
Space Separator 4130
 
18.1%
Decimal Number 3755
 
16.5%
Dash Punctuation 432
 
1.9%
Open Punctuation 205
 
0.9%
Close Punctuation 205
 
0.9%
Uppercase Letter 25
 
0.1%
Lowercase Letter 24
 
0.1%
Other Punctuation 22
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 934
 
6.7%
시 641
 
4.6%
면 614
 
4.4%
길 589
 
4.2%
로 545
 
3.9%
경 455
 
3.2%
군 420
 
3.0%
남 410
 
2.9%
북 389
 
2.8%
산 383
 
2.7%
Other values (313) 8634
61.6%
Uppercase Letter
ValueCountFrequency (%)
F 8
32.0%
C 2
 
8.0%
O 2
 
8.0%
T 2
 
8.0%
L 2
 
8.0%
J 1
 
4.0%
S 1
 
4.0%
I 1
 
4.0%
X 1
 
4.0%
W 1
 
4.0%
Other values (4) 4
16.0%
Decimal Number
ValueCountFrequency (%)
1 807
21.5%
2 522
13.9%
3 446
11.9%
5 351
9.3%
4 324
8.6%
6 294
 
7.8%
0 274
 
7.3%
8 261
 
7.0%
7 250
 
6.7%
9 226
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
o 16
66.7%
d 8
33.3%
Space Separator
ValueCountFrequency (%)
4130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 205
100.0%
Close Punctuation
ValueCountFrequency (%)
) 205
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14015
61.4%
Common 8749
38.4%
Latin 49
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 934
 
6.7%
시 641
 
4.6%
면 614
 
4.4%
길 589
 
4.2%
로 545
 
3.9%
경 455
 
3.2%
군 420
 
3.0%
남 410
 
2.9%
북 389
 
2.8%
산 383
 
2.7%
Other values (314) 8635
61.6%
Latin
ValueCountFrequency (%)
o 16
32.7%
F 8
16.3%
d 8
16.3%
C 2
 
4.1%
O 2
 
4.1%
T 2
 
4.1%
L 2
 
4.1%
J 1
 
2.0%
S 1
 
2.0%
I 1
 
2.0%
Other values (6) 6
 
12.2%
Common
ValueCountFrequency (%)
4130
47.2%
1 807
 
9.2%
2 522
 
6.0%
3 446
 
5.1%
- 432
 
4.9%
5 351
 
4.0%
4 324
 
3.7%
6 294
 
3.4%
0 274
 
3.1%
8 261
 
3.0%
Other values (5) 908
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14014
61.4%
ASCII 8798
38.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4130
46.9%
1 807
 
9.2%
2 522
 
5.9%
3 446
 
5.1%
- 432
 
4.9%
5 351
 
4.0%
4 324
 
3.7%
6 294
 
3.3%
0 274
 
3.1%
8 261
 
3.0%
Other values (21) 957
 
10.9%
Hangul
ValueCountFrequency (%)
도 934
 
6.7%
시 641
 
4.6%
면 614
 
4.4%
길 589
 
4.2%
로 545
 
3.9%
경 455
 
3.2%
군 420
 
3.0%
남 410
 
2.9%
북 389
 
2.8%
산 383
 
2.7%
Other values (313) 8634
61.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

제품명
Text

Distinct913
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-23T07:24:50.787088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length396
Median length174
Mean length24.492417
Min length3

Characters and Unicode

Total characters24223
Distinct characters635
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique869 ?
Unique (%)87.9%

Sample

1st row 마루원 꼬리곰탕, 마루원 사골곰탕
2nd row 투다리소양념갈비찜
3rd row 투다리치킨텐더, 투다리팝콘형치킨, 투다리순살닭다리살튀김
4th row 통등심돈까스K
5th row 동그랑땡K, 불고기패티2형, 함박스테이크K, 키토미트볼
ValueCountFrequency (%)
깍두기 54
 
1.7%
포기김치 53
 
1.7%
열무김치 53
 
1.7%
총각김치 51
 
1.6%
백김치 48
 
1.5%
갓김치 39
 
1.2%
맛김치 31
 
1.0%
파김치 26
 
0.8%
보쌈김치 23
 
0.7%
들기름 21
 
0.7%
Other values (2126) 2790
87.5%
2024-03-23T07:24:51.865692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3212
 
13.3%
, 1871
 
7.7%
치 1070
 
4.4%
김 1043
 
4.3%
기 667
 
2.8%
장 594
 
2.5%
고 348
 
1.4%
리 299
 
1.2%
두 287
 
1.2%
이 270
 
1.1%
Other values (625) 14562
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18331
75.7%
Space Separator 3212
 
13.3%
Other Punctuation 1887
 
7.8%
Open Punctuation 211
 
0.9%
Close Punctuation 211
 
0.9%
Decimal Number 208
 
0.9%
Uppercase Letter 81
 
0.3%
Lowercase Letter 39
 
0.2%
Math Symbol 26
 
0.1%
Dash Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 1070
 
5.8%
김 1043
 
5.7%
기 667
 
3.6%
장 594
 
3.2%
고 348
 
1.9%
리 299
 
1.6%
두 287
 
1.6%
이 270
 
1.5%
추 263
 
1.4%
지 219
 
1.2%
Other values (567) 13271
72.4%
Uppercase Letter
ValueCountFrequency (%)
P 19
23.5%
S 13
16.0%
H 7
 
8.6%
K 6
 
7.4%
T 6
 
7.4%
C 5
 
6.2%
E 5
 
6.2%
I 3
 
3.7%
A 3
 
3.7%
L 3
 
3.7%
Other values (7) 11
13.6%
Lowercase Letter
ValueCountFrequency (%)
g 6
15.4%
e 5
12.8%
u 4
10.3%
i 3
 
7.7%
r 3
 
7.7%
t 2
 
5.1%
a 2
 
5.1%
n 2
 
5.1%
o 2
 
5.1%
m 2
 
5.1%
Other values (5) 8
20.5%
Decimal Number
ValueCountFrequency (%)
1 54
26.0%
0 35
16.8%
4 23
11.1%
2 23
11.1%
7 18
 
8.7%
3 15
 
7.2%
6 13
 
6.2%
9 13
 
6.2%
5 12
 
5.8%
8 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 1871
99.2%
/ 7
 
0.4%
& 5
 
0.3%
! 1
 
0.1%
? 1
 
0.1%
% 1
 
0.1%
. 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 24
92.3%
∥ 1
 
3.8%
∼ 1
 
3.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 211
100.0%
Close Punctuation
ValueCountFrequency (%)
) 211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18317
75.6%
Common 5767
 
23.8%
Latin 125
 
0.5%
Han 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 1070
 
5.8%
김 1043
 
5.7%
기 667
 
3.6%
장 594
 
3.2%
고 348
 
1.9%
리 299
 
1.6%
두 287
 
1.6%
이 270
 
1.5%
추 263
 
1.4%
지 219
 
1.2%
Other values (561) 13257
72.4%
Latin
ValueCountFrequency (%)
P 19
 
15.2%
S 13
 
10.4%
H 7
 
5.6%
g 6
 
4.8%
K 6
 
4.8%
T 6
 
4.8%
e 5
 
4.0%
C 5
 
4.0%
E 5
 
4.0%
u 4
 
3.2%
Other values (24) 49
39.2%
Common
ValueCountFrequency (%)
3212
55.7%
, 1871
32.4%
( 211
 
3.7%
) 211
 
3.7%
1 54
 
0.9%
0 35
 
0.6%
~ 24
 
0.4%
4 23
 
0.4%
2 23
 
0.4%
7 18
 
0.3%
Other values (14) 85
 
1.5%
Han
ValueCountFrequency (%)
秀 4
28.6%
作 2
14.3%
純 2
14.3%
心 2
14.3%
安 2
14.3%
米 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18317
75.6%
ASCII 5885
 
24.3%
CJK 14
 
0.1%
Number Forms 5
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3212
54.6%
, 1871
31.8%
( 211
 
3.6%
) 211
 
3.6%
1 54
 
0.9%
0 35
 
0.6%
~ 24
 
0.4%
4 23
 
0.4%
2 23
 
0.4%
P 19
 
0.3%
Other values (44) 202
 
3.4%
Hangul
ValueCountFrequency (%)
치 1070
 
5.8%
김 1043
 
5.7%
기 667
 
3.6%
장 594
 
3.2%
고 348
 
1.9%
리 299
 
1.6%
두 287
 
1.6%
이 270
 
1.5%
추 263
 
1.4%
지 219
 
1.2%
Other values (561) 13257
72.4%
CJK
ValueCountFrequency (%)
秀 4
28.6%
作 2
14.3%
純 2
14.3%
心 2
14.3%
安 2
14.3%
米 2
14.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
Math Operators
ValueCountFrequency (%)
∥ 1
50.0%
∼ 1
50.0%

Correlations

2024-03-23T07:24:52.122838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증구분인증기관
인증구분1.0000.121
인증기관0.1211.000
2024-03-23T07:24:52.343349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증기관인증구분
인증기관1.0000.077
인증구분0.0771.000
2024-03-23T07:24:52.543864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증구분인증기관
인증구분1.0000.077
인증기관0.0771.000

Missing values

2024-03-23T07:24:40.404665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:24:40.852139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

인증구분인증번호인증기관인증일자인증시작일인증종료일인증업체주소제품명
0KS인증식품연 제2022-12호한국식품연구원2022-08-222022-08-222999-12-31(주)한일식품경상남도 진주시 대곡면 대화로 68마루원 꼬리곰탕, 마루원 사골곰탕
1KS인증식품연 제2022-11호한국식품연구원2022-05-192022-03-312999-12-31(주)그린충청남도 서산시 고북면 고북4로 356-54투다리소양념갈비찜
2KS인증식품연 제2022-10호한국식품연구원2022-05-192022-03-312999-12-31(주)그린충청남도 서산시 고북면 고북4로 356-54투다리치킨텐더, 투다리팝콘형치킨, 투다리순살닭다리살튀김
3KS인증식품연 제2022-09호한국식품연구원2022-05-192022-03-312999-12-31(주)미트뱅크 제2공장인천광역시 서구 소담1로 30 (금곡동)통등심돈까스K
4KS인증식품연 제2022-08호한국식품연구원2022-05-192022-03-312999-12-31(주)미트뱅크 제2공장인천광역시 서구 소담1로 30 (금곡동)동그랑땡K, 불고기패티2형, 함박스테이크K, 키토미트볼
5KS인증식품연 제2022-07호한국식품연구원2022-05-192022-03-142999-12-31(주)미트밸리경상남도 창원시 진해구 안골로 156 (안골동)카바노치소시지, 목장앤참숯비엔, 갈비맛소시
6KS인증식품연 제2022-06호한국식품연구원2022-05-192022-03-142999-12-31(주)미트밸리경상남도 창원시 진해구 안골로 156 (안골동)비어맛햄
7KS인증식품연 제2022-05호한국식품연구원2022-05-192022-03-142999-12-31(주)복천식품경기도 이천시 경충대로 2994-35 (사음동)복천탕수육, 복천돈까스
8KS인증식품연 제2022-03호한국식품연구원2022-05-192022-02-072999-12-31(주)한맥푸드경기도 남양주시 진접읍 금강로1845번길 103타르타르소스, 머스타드소스
9KS인증식품연 제2022-02호한국식품연구원2022-05-192021-01-172999-12-31(주)진미식품충청북도 괴산군 괴산읍 문무로 184 (공장)맛있는양념쌈장
인증구분인증번호인증기관인증일자인증시작일인증종료일인증업체주소제품명
979전통식품인증식품연 전통 제060호한국식품연구원2022-08-181995-06-052999-12-31한국농협김치조합공동사업법인 연천지사경기도 연천군 청산면 평화로 283국민포기김치, 오색소반백김치, 오색소반묵은지, 오색소반나박김치, 오색소반석박지, 오색소반포기김치, 오색소반보쌈김치, 오색소반갓김치, 오색소반동치미, 오색소반열무김치, 오색소반맛김치, 오색소반깍두기, 아름찬포기김치, 오색소반깻잎김치, 오색소반겉절이, 오색소반오이김치, 오색소반총각김치, 오색소반파김치
980전통식품인증식품연 전통 제059호한국식품연구원2019-03-211995-06-012999-12-31지평농협가공공장경기도 양평군 지평면 월산길 101토움한식된장, 토움쥐눈이콩된장
981전통식품인증식품연 전통 제048호한국식품연구원2019-03-211994-10-152999-12-31양구전통한과영농조합법인강원도 양구군 양구읍 박수근로85번길 20검은깨(흑임자)유과, 참깨유과, 찹쌀유과
982전통식품인증식품연 전통 제044호한국식품연구원2019-03-211993-11-302999-12-31귀빈식품전라남도 해남군 황산면 시등로 129-7이삭원한국간장
983전통식품인증식품연 전통 제043호한국식품연구원2019-03-211993-11-302999-12-31귀빈식품전라남도 해남군 황산면 시등로 129-7이삭원한국된장
984전통식품인증식품연 전통 제042호한국식품연구원2019-03-211993-11-302999-12-31귀빈식품전라남도 해남군 황산면 시등로 129-7 (귀빈식품)이삭원찹쌀고추장
985전통식품인증식품연 전통 제012호한국식품연구원2019-03-211993-03-222999-12-31농업회사법인 호정식품(주)전라남도 담양군 창평면 창평현로 766장평쌀조청
986전통식품인증식품연 전통 제011호한국식품연구원2019-03-211993-03-222999-12-31농업회사법인 호정식품(주)전라남도 담양군 창평면 창평현로 766창평쌀엿
987전통식품인증식품연 전통 제007호한국식품연구원2019-03-201992-03-062999-12-31신궁전통한과경기도 포천시 소흘읍 정금로74번길 38흑임자깨강정, 달콤한유과, 참깨강정
988전통식품인증식품연 전통 제002호한국식품연구원2019-03-201992-01-072999-12-31(주)갈골한과명인식품농업회사법인강원도 강릉시 사천면 중앙서로 62찹쌀강정, 찹쌀과줄